{"id":"W7095815458","doi":"","title":"KennethC.Sevcik Toronto","year":2008,"lang":"en","type":"article","venue":"","topic":"Free Will and Agency","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Set (abstract data type); Context (archaeology); Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004179344,0.0006033226,0.0003616344,0.001213669,0.002204541,0.002568264,0.000670116,0.001842133,0.4009391],"category_scores_gemma":[0.001396889,0.0003028619,0.000199965,0.000685317,0.0006921521,0.001412921,0.001464526,0.00149846,0.1601583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933985,"about_ca_system_score_gemma":0.002333397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01513149,"about_ca_topic_score_gemma":0.04300426,"domain_scores_codex":[0.999629,0.00003755672,0.00001607457,0.0001039535,0.0001691453,0.00004431154],"domain_scores_gemma":[0.9991378,0.0001308049,0.0000374871,0.00006003679,0.0003384335,0.000295448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000365172,0.00002987476,0.0004706309,0.0001359837,0.000004597958,0.0001852448,0.0003008544,0.00009799958,0.0005637271,0.01989484,0.8145788,0.163701],"study_design_scores_gemma":[0.000001747059,0.000004108708,0.0003000281,0.00006381623,0.000001410554,0.0001066073,0.0001191054,0.00003722641,0.0001453172,0.0009465267,0.9982706,0.00000338785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002233856,0.04270851,0.003430457,0.0727201,0.007866092,0.00005386087,0.001252785,0.0008794612,0.8688549],"genre_scores_gemma":[0.007729696,0.01305349,0.0008813285,0.002194711,0.0003227826,0.00002053157,0.0002472671,0.0001078068,0.9754423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5990609,"threshold_uncertainty_score":0.8544877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05739646554287829,"score_gpt":0.2453202924838916,"score_spread":0.1879238269410133,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}